Hair cells in the mammalian cochlea are highly vulnerable to damage from drug toxicity, noise exposure, aging, and genetic mutations, with no capacity for regeneration. Progress in hair cell protection research has been limited by the scarcity of cochlear tissue and suitable in vitro models. Here, we present a novel one-step, self-organizing inner ear organoid system optimized with small molecules, which bypasses the need for multi-step expansion and forced differentiation protocols.
View Article and Find Full Text PDFIntroduction: The prognostic differences between neuroendocrine carcinoma (NEC) and mixed neuroendocrine-non-neuroendocrine neoplasm (MiNEN) remain unclear.
Methods: This study aims to compare the prognostic outcomes of NEC and MiNEN by analyzing the clinicopathological features of these diseases and exploring factors affecting progression after radical surgery. Additionally, we employed whole-exome sequencing to investigate the molecular mechanisms influencing the prognosis of both conditions.
A balance between stem cell self-renewal and differentiation is required to maintain concurrent proliferation and cellular diversification in organoids; however, this has proven difficult in homogeneous cultures devoid of in vivo spatial niche gradients for adult stem cell-derived organoids. In this study, we leverage a combination of small molecule pathway modulators to enhance the stemness of organoid stem cells, thereby amplifying their differentiation potential and subsequently increasing cellular diversity within human intestinal organoids without the need for artificial spatial or temporal signaling gradients. Moreover, we demonstrate that this balance between self-renewal and differentiation can be effectively and reversibly shifted from secretory cell differentiation to the enterocyte lineage with enhanced proliferation using BET inhibitors, or unidirectional differentiation towards specific intestinal cell types by manipulating in vivo niche signals such as Wnt, Notch, and BMP.
View Article and Find Full Text PDFSwin Transformer is an important work among all the attempts to reduce the computational complexity of Transformers while maintaining its excellent performance in computer vision. Window-based patch self-attention can use the local connectivity of the image features, and the shifted window-based patch self-attention enables the communication of information between different patches in the entire image scope. Through in-depth research on the effects of different sizes of shifted windows on the patch information communication efficiency, this article proposes a Dual-Scale Transformer with double-sized shifted window attention method.
View Article and Find Full Text PDFDysregulation of apoptosis occurs in different types of malignant tumors and is likely to influence the tumor evolution, as well as clinical prognosis. However, the limited number of studies investigating the predictive power of apoptosis-related genes (ARGs) in gastric cancer indicates a gap in the current research. 174 ARGs who differentially expressed were screened using public databases, including the Gene Expression Omnibus and the Molecular Signatures Database.
View Article and Find Full Text PDFAmong refractive errors, astigmatism is the most common optical aberration, where refraction changes in different meridians of the eye. It causes blurred vision at any distance and includes corneal, lenticular, and retinal astigmatism. Cataract surgery used to cause a progressive increase in the pre-exisiting corneal astigmatism because of creating a surgically induced astigmatism, for example, a large size surgery incision.
View Article and Find Full Text PDF(PPL) and (PCY) are economically valuable species. PPL grows on conifers, while PCY grows on broad-leaved trees. To reveal the genetic mechanism behind PPL's adaptability to conifers, we performed genome sequencing and comparative analysis of PPL and PCY.
View Article and Find Full Text PDFGrowing evidence has indicated that circular RNAs (circRNAs) play crucial roles in the tumorigenesis and progression of diverse malignancies. However, the majority of circRNAs involved in esophageal squamous cell carcinoma (ESCC) remain undefined and the exact functions and underlying mechanisms of circRNAs in ESCC still need further exploration. In this study, we identified a novel onco-circRNA hsa_circ_0002938, derived from the exons of cysteine-rich transmembrane BMP regulator 1 (CRIM1) pre-mRNA, referred to as circCRIM1.
View Article and Find Full Text PDFOur purpose of this study was to investigate the use of statins in elderly patients with cardiovascular diseases during regular physical examination and to analyze the relationship between statins and glucose and lipid metabolism and adverse cardiovascular prognosis. From January 2019 to December 2021, 2121 elderly patients with cardiovascular disease underwent regular physical examination as the study subjects to investigate the use and intensity of statins. The patients were divided into the dosing group ( = 1848) and the nondosing group ( = 273) according to whether they were taking statins or not.
View Article and Find Full Text PDFThe incorporation of post-harvest crop straw and application of industrial and agricultural wastes to paddy soils increase rice crop yields and soil fertility. However, the impacts of combined applications of straw and waste products on greenhouse gas (GHG) emissions and global warming potential (GWP) of paddy soils are unclear. Therefore, we conducted a field experiment in subtropical rice in China to test the effects of applications of straw, straw+biochar, straw+shell slag, straw+gypsum slag, straw+silicon, and straw+steel slag on rice yields, GWP, and greenhouse gas emission intensity (GHGI).
View Article and Find Full Text PDFOptical flow is widely used in medical image processing, such as image registration, segmentation, 3D reconstruction, and temporal super-resolution. However, high-precision optical flow training datasets for medical images are challenging to produce. The current optical flow estimation models trained on these non-medical datasets, such as KITTI, Sintel, and FlyingChairs are unsuitable for medical images.
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